Create a database

Limited availability

InfluxDB Clustered is currently only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.

Use the influxctl database create command to create a database in your InfluxDB cluster.

  1. If you haven’t already, download and install the influxctl CLI.

  2. Run the influxctl database create command and provide the following:

    InfluxDB Clustered supports up to 7 total tags or tag buckets in the partition template.

influxctl database create \
--max-columns 250 \ --template-tag tag1 \ --template-tag tag2 \ --template-tag-bucket tag3,100 \ --template-tag-bucket tag4,300 \ --template-timeformat '%Y-%m-%d' \

Retention period syntax

Use the --retention-period flag to define a specific retention period for the database. The retention period value is a time duration value made up of a numeric value plus a duration unit. For example, 30d means 30 days. A zero duration (0d) retention period is infinite and data won’t expire. The retention period value cannot be negative or contain whitespace.

Valid durations units include
  • m: minute
  • h: hour
  • d: day
  • w: week
  • mo: month
  • y: year
Example retention period values
  • 0d: infinite/none
  • 3d: 3 days
  • 6w: 6 weeks
  • 1mo: 1 month (30 days)
  • 1y: 1 year
  • 30d30d: 60 days
  • 2.5d: 60 hours

Database naming restrictions

Database names must adhere to the following naming restrictions:

  • Cannot contain whitespace, punctuation, or special characters. Only alphanumeric, underscore (_), dash (-), and forward-slash (/) characters are permitted.
  • Should not start with an underscore (_).
  • Maximum length of 64 characters.

InfluxQL DBRP naming convention

In InfluxDB 1.x, data is stored in databases and retention policies. In InfluxDB Clustered, databases and retention policies have been merged into databases, where databases have a retention period, but retention policies are no longer part of the data model. Because InfluxQL uses the 1.x data model, a database must be mapped to a v1 database and retention policy (DBRP) to be queryable with InfluxQL.

When naming a database that you want to query with InfluxQL, use the following naming convention to automatically map v1 DBRP combinations to an InfluxDB Clustered database:

Database naming examples
v1 Database namev1 Retention Policy nameNew database name

Table and column limits

In InfluxDB Clustered, table (measurement) and column limits can be configured using the --max-tables and --max-columns flags.

Table limit

Default maximum number of tables: 500

Each measurement is represented by a table in a database. Your database’s table limit can be raised beyond the default limit of 500. InfluxData has production examples of clusters with 20,000+ active tables across multiple databases.

Increasing your table limit affects your InfluxDB cluster in the following ways:

May improve query performance View more info

More PUTs into object storage View more info

More work for the compactor View more info

Column limit

Default maximum number of columns: 250

Time, fields, and tags are each represented by a column in a table. Increasing your column limit affects your InfluxDB cluster in the following ways:

May adversely affect query performance

Custom partitioning

InfluxDB Clustered lets you define a custom partitioning strategy for each database. A partition is a logical grouping of data stored in Apache Parquet format in the InfluxDB v3 storage engine. By default, data is partitioned by day, but, depending on your schema and workload, customizing the partitioning strategy can improve query performance.

Use the --template-tag, --template-tag-bucket, and –template-timeformat` flags to define partition template parts used to generate partition keys for the database. For more information, see Manage data partitioning.

Partition templates can only be applied on create

You can only apply a partition template when creating a database. There is no way to update a partition template on an existing database.

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